ArticlePhysical review. E, Statistical, nonlinear, and soft matter physics2015
Composite generalized Langevin equation for Brownian motion in different hydrodynamic and adhesion regimes.
Article in Physical review. E, Statistical, nonlinear, and soft matter physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Nanowaveguide-illuminated fluorescence correlation spectroscopy for single molecule studies.AIP advances · 2021Article
- A survey of multiscale modeling: Foundations, historical milestones, current status, and future prospects.AIChE journal. American Institute of Chemical Engineers · 2021Article
- Multiscale modeling of protein membrane interactions for nanoparticle targeting in drug delivery.Current opinion in structural biology · 2020Review
- Nanoparticle transport phenomena in confined flows.Advances in heat transfer · 2019Article
- Motion of a nano-spheroid in a cylindrical vessel flow: Brownian and hydrodynamic interactions.Journal of fluid mechanics · 2017Article
- Computational Models for Nanoscale Fluid Dynamics and Transport Inspired by Nonequilibrium Thermodynamics.Journal of heat transfer · 2017Article
- Evolution of Multivalent Nanoparticle Adhesion via Specific Molecular Interactions.Langmuir : the ACS journal of surfaces and colloids · 2016Article
- Effect of wall-mediated hydrodynamic fluctuations on the kinetics of a Brownian nanoparticle.Proceedings. Mathematical, physical, and engineering sciences · 2016Article
- Nanoparticle stochastic motion in the inertial regime and hydrodynamic interactions close to a cylindrical wall.Physical review fluids · 2016Article
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Authors and funding
4 authors.
Funding
Abstract
We present a composite generalized Langevin equation as a unified framework for bridging the hydrodynamic, Brownian, and adhesive spring forces associated with a nanoparticle at different positions from a wall, namely, a bulklike regime, a near-wall regime, and a lubrication regime. The particle velocity autocorrelation function dictates the dynamical interplay between the aforementioned forces, and our proposed methodology successfully captures the well-known hydrodynamic long-time tail with context-dependent scaling exponents and oscillatory behavior due to the binding interaction. Employing the reactive flux formalism, we analyze the effect of hydrodynamic variables on the particle trajectory and characterize the transient kinetics of a particle crossing a predefined milestone. The results suggest that both wall-hydrodynamic interactions and adhesion strength impact the particle kinetics.
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Registered trials
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